The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 07, 1999

Filed:

Feb. 13, 1998
Applicant:
Inventors:

Michael Trompf, Hemmingen, DE;

Hans Jurgen Matt, Remseck, DE;

Dieter Baums, Giessen, DE;

Gebhard Thierer, Ditzingen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S / ;
U.S. Cl.
CPC ...
342 90 ; 36414803 ; 382156 ;
Abstract

Neural networks are used to classify objects automatically by means of Doppler-broadened radar echo signals. The classification device KK contains a neural network (NET, NET2) which has an input layer (IL) of input nodes (IN1, . . . , IN57) for features (M) of the Doppler-broadened radar echo signals, and an output layer (OL) of output nodes (ON1, ON2, ON3) for predetermined classes to which the objects can be allocated. The neural network (NET, NET2) is adapted to the external conditions prevailing at the time of the classification operation. The adaptation takes place either via accessible input nodes (ZN1, ZN2) into which control information (SI) can be entered, and which cause the neural network (NET) to adapt to one or to several external influence factors, or via a selection device (SEL) which, from the parameters (P1, . . . , P4) of several neural networks stored in a memory (MEM), which are trained with training data under respectively different conditions of external influence factors, selects the one most similar to the prevailing conditions.


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